Journal article
Going Beyond Conventional Mammographic Density to Discover Novel Mammogram-Based Predictors of Breast Cancer Risk.
John L Hopper, Tuong L Nguyen, Daniel F Schmidt, Enes Makalic, Yun-Mi Song, Joohon Sung, Gillian S Dite, James G Dowty, Shuai Li
Journal of Clinical Medicine | MDPI AG | Published : 2020
DOI: 10.3390/jcm9030627
Abstract
This commentary is about predicting a woman's breast cancer risk from her mammogram, building on the work of Wolfe, Boyd and Yaffe on mammographic density. We summarise our efforts at finding new mammogram-based risk predictors, and how they combine with the conventional mammographic density, in predicting risk for interval cancers and screen-detected breast cancers across different ages at diagnosis and for both Caucasian and Asian women. Using the OPERA (odds ratio per adjusted standard deviation) concept, in which the risk gradient is measured on an appropriate scale that takes into account other factors adjusted for by design or analysis, we show that our new mammogram-based measures are..
View full abstractGrants
Awarded by National Health and Medical Research Council
Awarded by Cure Cancer Australia Foundation through Cancer Australia Priority-Driven Collaborative Cancer Research Scheme
Funding Acknowledgements
This research was supported by the National Health and Medical Research Council (251533, 209057, and 504711), the Victorian Health Promotion Foundation, Cancer Council Victoria, Cancer Council NSW, Cancer Australia, and the National Breast Cancer Foundation. It has also been supported by the Breast Cancer Network Australia, the National Breast Cancer Foundation, Victoria Breast Cancer Research Consortium and was further supported by infrastructure provided by the Cancer Council Victoria and the University of Melbourne. We thank the Victorian Cancer Registry, BreastScreen Victoria, and the Australian Mammographic Density Research Facility. TLN has been supported by Cure Cancer Australia Foundation through Cancer Australia Priority-Driven Collaborative Cancer Research Scheme (1159399). TLN and SL has been supported by a Victorian Cancer Council Post-Doctoral Fellowship and a grant from the Picchi Foundation-Victorian Comprehensive Cancer Centre. JLH is a NHMRC Senior Principal Research Fellow.